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    Index by author — July 01, 2020, 41 (7) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
July 01, 2020; Volume 41,Issue 7 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Cetas, J.S.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Distinguishing Extravascular from Intravascular Ferumoxytol Pools within the Brain: Proof of Concept in Patients with Treated Glioblastoma  
    	
      R.F. Barajas, D. Schwartz, H.L. McConnell, C.N. Kersch, X. Li, B.E. Hamilton, J. Starkey, D.R. Pettersson, J.P. Nickerson, J.M. Pollock, R.F. Fu, A. Horvath, L. Szidonya, C.G. Varallyay, J.J. Jaboin, A.M. Raslan, A. Dogan, J.S. Cetas, J. Ciporen, S.J. Han, P. Ambady, L.L. Muldoon, R. Woltjer, W.D. Rooney and E.A. Neuwelt
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1193-1200; DOI: https://doi.org/10.3174/ajnr.A6600 
      
  
  
  

      

  2. Chagoya, G.
    1. 
  
  
      
      Head & Neck 
      
  
      
      
  
      Prevalence of Sigmoid Sinus Dehiscence and Diverticulum among Adults with Skull Base Cephaloceles  
    	
      H. Sotoudeh, G. Elsayed, S. Ghandili, O. Shafaat, J.D. Bernstock, G. Chagoya, T. Atchley, P. Talati, D. Segar, S. Gupta and A. Singhal
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1251-1255; DOI: https://doi.org/10.3174/ajnr.A6602 
      
  
  
  

      

  3. Chang, K.
    1. 
  
  
      
      EDITOR'S CHOICEPediatrics 
      
  
      
      Open Access
      
  
      Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging  
    	
      H. Zhou, R. Hu, O. Tang, C. Hu, L. Tang, K. Chang, Q. Shen, J. Wu, B. Zou, B. Xiao, J. Boxerman, W. Chen, R.Y. Huang, L. Yang, H.X. Bai and C. Zhu
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1279-1285; DOI: https://doi.org/10.3174/ajnr.A6621 
      
  
    	
      This retrospective study included preoperative MR imaging of 288 pediatric patients with pediatric posterior fossa tumors, including medulloblastoma (n=111), ependymoma (n=70), and pilocytic astrocytoma (n=107). Radiomics features were extracted from T2-weighted images, contrast-enhanced T1-weighted images, and ADC maps. Models generated by standard manual optimization by a machine learning expert were compared with automatic machine learning via the Tree-Based Pipeline Optimization Tool for performance evaluation. The authors conclude that automatic machine learning based on routine MR imaging classified pediatric posterior fossa tumors with high accuracy compared with manual expert pipeline optimization and qualitative expert MR imaging review.
      
  
  

      

  4. Chen, C.Q.
    1. 
  
  
      
      Interventional 
      
  
      
      Open Access
      
  
      A Hemodynamic Mechanism Correlating with the Initiation of MCA Bifurcation Aneurysms  
    	
      Z. Huang, M. Zeng, W.G. Tao, F.Y. Zeng, C.Q. Chen, L.B. Zhang and F.H. Chen
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1217-1224; DOI: https://doi.org/10.3174/ajnr.A6615 
      
  
  
  

      

  5. Chen, F.H.
    1. 
  
  
      
      Interventional 
      
  
      
      Open Access
      
  
      A Hemodynamic Mechanism Correlating with the Initiation of MCA Bifurcation Aneurysms  
    	
      Z. Huang, M. Zeng, W.G. Tao, F.Y. Zeng, C.Q. Chen, L.B. Zhang and F.H. Chen
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1217-1224; DOI: https://doi.org/10.3174/ajnr.A6615 
      
  
  
  

      

  6. Chen, M.M.
    1. 
  
  
  
      
      Open Access
      
  
      Implications of the Revisions and Revaluation of Office/Outpatient Evaluation and Management Codes for Neuroradiology Reimbursement  
    	
      K.Y. Wang, J.A. Hirsch, G.N. Nicola, L.P. Golding, R.K. Lee and M.M. Chen
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1160-1164; DOI: https://doi.org/10.3174/ajnr.A6619 
      
  
  
  

      

  7. Chen, W.
    1. 
  
  
      
      EDITOR'S CHOICEPediatrics 
      
  
      
      Open Access
      
  
      Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging  
    	
      H. Zhou, R. Hu, O. Tang, C. Hu, L. Tang, K. Chang, Q. Shen, J. Wu, B. Zou, B. Xiao, J. Boxerman, W. Chen, R.Y. Huang, L. Yang, H.X. Bai and C. Zhu
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1279-1285; DOI: https://doi.org/10.3174/ajnr.A6621 
      
  
    	
      This retrospective study included preoperative MR imaging of 288 pediatric patients with pediatric posterior fossa tumors, including medulloblastoma (n=111), ependymoma (n=70), and pilocytic astrocytoma (n=107). Radiomics features were extracted from T2-weighted images, contrast-enhanced T1-weighted images, and ADC maps. Models generated by standard manual optimization by a machine learning expert were compared with automatic machine learning via the Tree-Based Pipeline Optimization Tool for performance evaluation. The authors conclude that automatic machine learning based on routine MR imaging classified pediatric posterior fossa tumors with high accuracy compared with manual expert pipeline optimization and qualitative expert MR imaging review.
      
  
  

      

  8. Choi, S.
    1. 
  
  
      
      Pediatrics 
      
  
      
      Open Access
      
  
      Changes of Neurotransmitters in Youth with Internet and Smartphone Addiction: A Comparison with Healthy Controls and Changes after Cognitive Behavioral Therapy  
    	
      H.S. Seo, E.-K. Jeong, S. Choi, Y. Kwon, H.-J. Park and I. Kim
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1293-1301; DOI: https://doi.org/10.3174/ajnr.A6632 
      
  
  
  

      

  9. Ciporen, J.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Distinguishing Extravascular from Intravascular Ferumoxytol Pools within the Brain: Proof of Concept in Patients with Treated Glioblastoma  
    	
      R.F. Barajas, D. Schwartz, H.L. McConnell, C.N. Kersch, X. Li, B.E. Hamilton, J. Starkey, D.R. Pettersson, J.P. Nickerson, J.M. Pollock, R.F. Fu, A. Horvath, L. Szidonya, C.G. Varallyay, J.J. Jaboin, A.M. Raslan, A. Dogan, J.S. Cetas, J. Ciporen, S.J. Han, P. Ambady, L.L. Muldoon, R. Woltjer, W.D. Rooney and E.A. Neuwelt
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1193-1200; DOI: https://doi.org/10.3174/ajnr.A6600 
      
  
  
  

      

  10. Coolen, B.F.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      Open Access
      
  
      High Spatiotemporal Resolution 4D Flow MRI of Intracranial Aneurysms at 7T in 10 Minutes  
    	
      L.M. Gottwald, J. Töger, K. Markenroth Bloch, E.S. Peper, B.F. Coolen, G.J. Strijkers, P. van Ooij and A.J. Nederveen
      
  
    	
      American Journal of Neuroradiology July 2020, 41 (7) 1201-1208; DOI: https://doi.org/10.3174/ajnr.A6603 
      
  
    	
      The authors used pseudospiral Cartesian undersampling with compressed sensing reconstruction to achieve high spatiotemporal resolution (0.5mm isotropic, ∼30 ms) in a scan time of 10 minutes. They analyzed the repeatability of accelerated 4D-flow scans and compared flow rates, stroke volume, and the pulsatility index with 2D-flow and conventional 4D-flow MR imaging in a flow phantom and 15 healthy subjects. Mean flow-rate bias compared with 2D-flow was lower for accelerated than for conventional 4D-flow MR imaging. Pulsatility index bias gave similar results. Stroke volume bias showed no difference from accelerated bias for conventional 4D-flow MR imaging. Repeatability for accelerated 4D-flow was similar to that of 2D-flow MR imaging. They conclude that highly accelerated high-spatiotemporal-resolution 4D-flow MR imaging at 7T in intracranial arteries and aneurysms provides repeatable and accurate quantitative flow values.
      
  
  

      

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